At a Glance
- Tasks: Deliver key projects, mentor analysts, and validate risk models for SEFE.
- Company: Join SEFE, a leading international energy company driving the energy transition.
- Benefits: Competitive salary, hybrid working, 25 days holiday, and comprehensive wellness benefits.
- Other info: Inclusive culture with opportunities for career growth and development.
- Why this job: Make a real impact in energy security while developing your skills in a dynamic environment.
- Qualifications: Master's in Maths or Physics, strong coding skills, and knowledge of risk modelling required.
The predicted salary is between 36000 - 60000 £ per year.
In the role, the analyst has responsibility for delivery of key projects and a mentoring role to other analysts. The team fulfils three main functions in SEFE:
- Ensure the independent validation of relevant valuation and exposure models developed by commercial teams and used by Risk Management & Middle Office in Economic valuations, on the Balance sheet, or in Risk Models.
- Develop, maintain and document Quantitative Risk Models as required.
- Provide support on quantitative topics to the rest of Risk Management & Middle Office as needed.
What Will You Do
- Maintain appropriate documentation for SEFE Risk Management models.
- Develop, test and maintain relevant Risk models and methodologies required to support the SEFE Group Risk Framework, including MVaR, CMaR, CVaR, PFE.
- Deliver independent review/validation of relevant valuation and exposure models (P&L and Balance Sheet related).
- Ensure quantitative concepts are clearly understood and appropriately implemented by SEFE Risk Management and Middle Office.
- Manage response to investigation of quantitative aspects of valuation during external audit or third party assurance projects.
- Mentor other analysts in the team, leading in establishing standards and best practice for technical aspects of the team.
- Support Head of Quantitative Risk with team development and recruitment.
What Will You Bring
- Master's degree or similar qualification in Maths or Physics to degree level essential.
- Post graduate qualification in Financial modelling highly advantageous.
- Strong understanding of valuation methodologies and risk metric calculation as applied to derivatives trading.
- In-depth knowledge of probability theory, stochastic calculus, time series and differential equation techniques to financial problems.
- In-depth understanding of Monte Carlo risk modelling methodologies – Market and Credit VaR, PFE and EaR.
- High level of attention to detail to challenge analysis and methodologies to identify weaknesses and limitations to improve results/approaches.
- Extensive knowledge of coding languages, preferably Python and C#.
- Ability to communicate complicated concepts in a simple way to non-expert stakeholders, and explain the relevance of highly technical analysis.
- Management of concurrent diverse projects with ability to adapt to new topics not previously encountered.
- Experience of valuation methodologies and risk metric models for derivatives products.
- Experience of developing and maintaining Market and Credit risk models using Monte Carlo techniques.
About Us
Securing Energy for Europe – it’s a simple statement, with a bold ambition. SEFE is not just our name, but also encompasses everything that drives us. To accomplish this, we’re taking immediate action to secure gas supply – but also looking forward, to explore our role in the European energy transformation and how we can contribute to a stable and sustainable future. SEFE, an international energy company, ensures the security of supply and drives the decarbonisation of its customers. SEFE’s activities span the energy value chain, from origination and trading to sales, transport, and storage. Through its decades-long expertise in trading and the development of its LNG business, SEFE has become one of the most important suppliers to industrial customers in Europe, with an annual sales volume of 200 TWh of gas and power. Its 50,000 customers range from small businesses to municipalities and multinational organisations. By investing in clean energies and especially in the hydrogen ecosystem, SEFE is contributing to the energy transition. The company employs around 2,000 people globally and is owned by the Federal Government of Germany. Our international teams work across locations in Europe, Asia, and North America. We’re passionate about energy and the important role it can play in shaping a better future. Securing energy – now and for the future.
Our Benefits
We’re committed to creating an inclusive environment that embraces diversity and fosters the development of knowledge, skills, and experience. Whatever your role, you’ll find an open, welcoming atmosphere that empowers you and recognises your contribution. In return, we offer a competitive starting salary supported by a comprehensive range of financial, lifestyle and wellness benefits with the flexibility to follow a hybrid working model:
- Bonus earning potential
- Non-contributory pension with 10% employer contribution
- 25 days holiday plus bank holidays and volunteering days
- Buy/sell holidays
- Life assurance
- Medical and dental insurance (family cover)
- Range of optional flexible benefits
We are committed to supporting your career growth with opportunities to develop both your knowledge and experience through a blended approach to learning. Join SEFE and help us secure energy supply across Europe and shape a better, more sustainable tomorrow.
Quantitative Risk Analyst (m/f/d) employer: SEFE Marketing & Trading Ltd
Contact Detail:
SEFE Marketing & Trading Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Risk Analyst (m/f/d)
✨Tip Number 1
Network like a pro! Reach out to professionals in the industry on LinkedIn or attend relevant events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to quantitative risk analysis. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills through projects or case studies. If you’ve worked on any relevant models or analyses, be ready to discuss them in detail. We love seeing practical applications of your knowledge!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to contribute to securing energy for Europe.
We think you need these skills to ace Quantitative Risk Analyst (m/f/d)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Risk Analyst role. Highlight your relevant experience in risk modelling, valuation methodologies, and any coding skills you have. We want to see how your background aligns with what we do at SEFE!
Showcase Your Skills: In your application, don’t just list your qualifications; showcase your skills! Talk about specific projects where you've developed or validated risk models. We love seeing real examples of how you've tackled complex problems.
Keep It Clear and Concise: When writing your cover letter, keep it clear and concise. Use straightforward language to explain your technical expertise and how it relates to the role. Remember, we appreciate communication that’s easy to understand, even for non-experts!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. This way, your application goes directly to us, and we can review it more efficiently. Plus, it shows you're keen on joining our team at SEFE!
How to prepare for a job interview at SEFE Marketing & Trading Ltd
✨Know Your Models Inside Out
Make sure you have a solid understanding of the valuation and exposure models relevant to the role. Be prepared to discuss how you've developed, tested, or validated these models in your previous experience. This will show that you can hit the ground running.
✨Brush Up on Your Coding Skills
Since extensive knowledge of coding languages like Python and C# is essential, ensure you're comfortable discussing your coding experience. Bring examples of projects where you've used these languages to develop risk models or methodologies.
✨Communicate Complex Concepts Simply
Practice explaining complicated quantitative concepts in a straightforward manner. You might be asked to present your analysis to non-expert stakeholders, so being able to simplify your findings will demonstrate your communication skills and understanding.
✨Show Your Mentoring Side
As mentoring other analysts is part of the role, think about your past experiences where you've guided others. Be ready to share specific examples of how you've established best practices or helped colleagues improve their technical skills.